EMNLP
2009
13 years 9 months ago
2009
While speaking spontaneously, speakers often make errors such as self-correction or false starts which interfere with the successful application of natural language processing tec...
EMNLP
2009
13 years 9 months ago
2009
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
EMNLP
2009
13 years 9 months ago
2009
This paper shows that discriminative reranking with an averaged perceptron model yields substantial improvements in realization quality with CCG. The paper confirms the utility of...
EMNLP
2009
13 years 9 months ago
2009
System combination has emerged as a powerful method for machine translation (MT). This paper pursues a joint optimization strategy for combining outputs from multiple MT systems, ...
EMNLP
2009
13 years 9 months ago
2009
There is plenty of evidence that emotion analysis has many valuable applications. In this study a blog emotion corpus is constructed for Chinese emotional expression analysis. Thi...
EMNLP
2009
13 years 9 months ago
2009
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
EMNLP
2009
13 years 9 months ago
2009
Sets of lexical items sharing a significant aspect of their meaning (concepts) are fundamental in linguistics and NLP. Manual concept compilation is labor intensive, error prone a...
EMNLP
2009
13 years 9 months ago
2009
This paper proposes a novel method to refine the grammars in parsing by utilizing semantic knowledge from HowNet. Based on the hierarchical state-split approach, which can refine ...
EMNLP
2009
13 years 9 months ago
2009
This paper presents a simple and effective approach to improve dependency parsing by using subtrees from auto-parsed data. First, we use a baseline parser to parse large-scale una...
EMNLP
2009
13 years 9 months ago
2009
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...